Developments in AI and Machine Learning for Neuroimaging

Shane O’Sullivan, Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger, Dan Shiebler, Pradip Moon, Claudio Angione

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Abstract

This paper reviews guidelines on how medical imaging analysis can be enhanced by Artificial Intelligence (AI) and Machine Learning (ML). In addition to outlining current and potential future developments, we also provide background information on chemical imaging and discuss the advantages of Explainable AI. We hypothesize that it is a matter of AI to find an invariably recurring parameter that has escaped human attention (e.g. due to noisy data). There is great potential in AI to illuminate the feature space of successful models.
Original languageEnglish
Title of host publicationDevelopments in AI and Machine Learning for Neuroimaging
EditorsA Holzinger , R Goebel, M Mengel, H Müller
PublisherSpringer
Pages307-320
Number of pages14
Volume12090
ISBN (Print)9783030504014
DOIs
Publication statusPublished - 24 Jun 2020

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743

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    O’Sullivan, S., Jeanquartier, F., Jean-Quartier, C., Holzinger, A., Shiebler, D., Moon, P., & Angione, C. (2020). Developments in AI and Machine Learning for Neuroimaging. In A. Holzinger , R. Goebel, M. Mengel, & H. Müller (Eds.), Developments in AI and Machine Learning for Neuroimaging (Vol. 12090, pp. 307-320). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-030-50402-1_18